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Decision maker based on nanoscale photo-excitation transfer.


ABSTRACT: Decision-making is one of the most important intellectual abilities of the human brain. Here we propose an efficient decision-making system which uses optical energy transfer between quantum dots (QDs) mediated by optical near-field interactions occurring at scales far below the wavelength of light. The simulation results indicate that our system outperforms the softmax rule, which is known as the best-fitting algorithm for human decision-making behaviour. This suggests that we can produce a nano-system which makes decisions efficiently and adaptively by exploiting the intrinsic spatiotemporal dynamics involving QDs mediated by optical near-field interactions.

SUBMITTER: Kim SJ 

PROVIDER: S-EPMC3738946 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Decision maker based on nanoscale photo-excitation transfer.

Kim Song-Ju SJ   Naruse Makoto M   Aono Masashi M   Ohtsu Motoichi M   Hara Masahiko M  

Scientific reports 20130101


Decision-making is one of the most important intellectual abilities of the human brain. Here we propose an efficient decision-making system which uses optical energy transfer between quantum dots (QDs) mediated by optical near-field interactions occurring at scales far below the wavelength of light. The simulation results indicate that our system outperforms the softmax rule, which is known as the best-fitting algorithm for human decision-making behaviour. This suggests that we can produce a nan  ...[more]

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